Weka jobs

Werkstudent*in Content Creation bei fraenk (m/w/d/-) Köln, Deutschland

Channel Sales Manager - Northeast U.S. Remote WEKA is transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh™, our intelligent, adaptive mesh storage system. Unlike traditional data infrastructures, which become more fragile as compute environments grow and performance demands increase, NeuralMesh becomes faster, stronger, and more efficient as it scales, providing a flexible, adaptable foundation for enterprise and agentic AI innovation that maximizes GPU utilization, accelerates time to first token, and lowers the cost of innovation. WEKA is a growth-stage company backed by world-class venture capital investors and AI infrastructure industry leaders. Our technology, purpose-built for AI, has garnered over 140 patents and is trusted by more than 30% of Fortune 50 enterprises, as well as the world's leading hyperscalers, neoclouds, and AI innovators. Our team is customer-obsessed and works accountably, boldly, and collaboratively to ensure their success. If we sound like your kind of people, join us! About The Role As the Channel Sales Manager, you will be responsible for developing and executing the channel sales strategy, building, and managing relationships with channel partners, and driving revenue growth through these strategic alliances. You will work closely with the sales, marketing, and product teams to identify opportunities, develop go-to-market plans, and deliver exceptional results. This is a strategic role that requires a strong understanding of enterprise software and cloud technologies, as well as a proven track record in channel sales. Preferred Location - East Coast Responsibilities: - Develop and execute the channel sales strategy in

Full-Time Sales Associate, HOKA HOKA Garibaldi Store (Milan, IT) posted: Posted Yesterday

Channel Sales Manager, DACH EMEA Remote; Munich, Germany Channel Sales Manager, Central WEKA is transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh™, our intelligent, adaptive mesh storage system. Unlike traditional data infrastructures, which become more fragile as compute environments grow and performance demands increase, NeuralMesh becomes faster, stronger, and more efficient as it scales, providing a flexible, adaptable foundation for enterprise and agentic AI innovation that maximizes GPU utilization, accelerates time to first token, and lowers the cost of innovation. WEKA is a growth-stage company backed by world-class venture capital investors and AI infrastructure industry leaders. Our technology, purpose-built for AI, has garnered over 140 patents and is trusted by more than 30% of Fortune 50 enterprises, as well as the world's leading hyperscalers, neoclouds, and AI innovators. Our team is customer-obsessed and works accountably, boldly, and collaboratively to ensure their success. If we sound like your kind of people, join us! About The Role As the Channel Sales Manager, you will be responsible for developing and executing the channel sales strategy, building, and managing relationships with channel partners, and driving revenue growth through these strategic alliances. You will work closely with the sales, marketing, and product teams to identify opportunities, develop go-to-market plans, and deliver exceptional results. This is a strategic role that requires a strong understanding of enterprise software and cloud technologies, as well as a proven track record in channel sales. This role is based remotely in Germany. Responsibilities: - Develop

Systems Administrator V General Atomics (GA), and its affiliated companies, is one of the world's leading resources for high-technology systems development ranging from the nuclear fuel cycle to remotely piloted aircraft, airborne sensors, and advanced electric, electronic, wireless and laser technologies. We are seeking an ambitious Scientific Computing Administrator for the GA Energy Group to support the physicists and researchers at the DIII-D National Fusion Facility. General Atomics is pushing the boundaries of what is possible in fusion energy, and this role is critical to supporting the high-performance computing (HPC) workflows, Digital Twin projects, and advanced numerical modeling that make our research possible. If you are a highly capable Linux Systems Administrator passionate about scientific computing and looking for the opportunity to step up into managing massive parallel storage clusters, this is the place for you. We value work-life balance, sustainable operational paces, and a collaborative, academic-style environment where your work directly supports world-changing energy research. No Visa sponsorship for this role. DUTIES & RESPONSIBILITIES - Infrastructure Operations: Maintain the smooth operation of multi-user computer systems, ensuring high availability and data integrity for fusion energy research activities. - HPC Architecture & Deployment: Collaborate with senior architects to plan, design, and deploy complex parallel file systems (including Lustre, BeeGFS, and WEKA) and scale-out object storage. - Workflow Optimization: Work directly with science area experts to tune computational workflows, optimize resource scheduling (SLURM), and benchmark complex numerical models to ensure peak I/O performance. - Automation: Leverage tools like Ansible, Python, and Bash

Supercompute Engineer Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role As a Supercomputing Engineer at Periodic Labs, you will design, build, and operate the high-performance computing infrastructure that powers our AI and scientific research. Our models demand extreme compute at scale - large GPU and CPU clusters, high-speed interconnects, low-latency parallel storage, and workload schedulers that make every cycle count. You will work directly with researchers and infrastructure engineers to ensure our compute environment is fast, reliable, and optimized for scientific discovery at the frontier. This is a deeply hands-on role. You will architect and tune systems, automate provisioning, diagnose performance bottlenecks, and design for resilience at scale. You'll partner with research and ML teams to understand their workloads and shape an HPC environment that removes friction and accelerates science. What You'll Do - Design, deploy, and operate large-scale GPU and CPU clusters for AI training, scientific simulation, and research workloads - Manage and optimize high-speed interconnect fabrics (InfiniBand, RoCE) and parallel filesystems (Lustre, GPFS, WEKA, or equivalent) for maximum throughput and minimum latency - Own workload scheduling and resource management

Werkstudent*in Marketingplanung Budget (m/w/d/-) - congstar GmbH Köln, Deutschland

Senior AI Infrastructure Engineer (Virtualisation) Australia or Singapore Role Summary Firmus is seeking a highly skilled and driven Senior Engineer to play a key role in designing, building, and operating software-defined infrastructure, including high-performance AI storage platforms. You will help evolve our Software Defined Infrastructure by building reliable, scalable solutions that power some of the world's largest and most innovative AI workloads. You will be instrumental in ensuring the stability, performance, and continuous improvement of our mission-critical control plane and storage infrastructure. Key Responsibilities - Design and implement a highly scalable, multi-tenant control plane that supports Firmus' growing AI and infrastructure needs. - Contribute to the development of exabyte-scale, S3-compatible object storage, distributed file systems, and high-performance filesystems. - Work with bare-metal provisioning tools such as Base Command Manager, Warewulf, Ironic, MaaS, and similar platforms. - Apply a deep understanding of operating systems, computer networks, software-defined storage, and high-performance applications. - Work with technologies including RDMA, GPU Direct Storage, RoCE, InfiniBand, DPDK, Ceph, Weka, DAOS, and others. - Collaborate with operations teams to monitor, analyse, and optimise internal clusters and storage platforms. - Document architecture designs, operational procedures, and performance results. - Collaborate with L2 SRE engineers, site operations, and networking teams to ensure platform reliability, reproducibility, and performance. - Contribute to continuous improvement in cluster validation, CI/CD automation, and provisioning and testing frameworks. - Apply knowledge of Kubernetes and composable storage clusters. - Contribute to the development of custom Kubernetes operators and intelligent orchestration frameworks to optimise AI workload

Manager, Business Intelligence, Amazon Prime Bengaluru, Karnataka, IND Our vision for Prime is to build India's largest subscription program that is loved by its members, delivers disproportionate value and drives growth of India business. In order to achieve this mission, we are on a multi-year journey to re-imagine Prime program and build a program to meets needs of large diverse customer base in India. Our team is responsible for all aspects of the prime program including customer lifecycle management, plan constructs, trial strategies, pricing, program branding, Prime benefits, member spends and Prime PnL. To this end, we are a multidisciplinary team including product managements, marketing, business development, engineering and analytics. We are a team of builders who love to work backwards from customer, build empathy for their needs and invent products and services that will enrich their lives. Prime team is looking for a Manager, Business Intelligence and Analytics group to lead a team of Business Intelligence Engineers responsible for building analytics solutions and generate Prime related insights for India and other emerging marketplaces. The ideal candidate will be skilled at building scalable self service analytics infrastructure, has experience building teams and growing individuals and is curious and seeks out data to understand the business use cases and impact on Prime. This candidate will be part of core Prime leadership team reporting to Prime leader for India and will be responsible for co-creating Prime strategy for IN and corresponding investments in analytics infrastructure to support this growth. Basic Qualifications: -

AI Fullstack Engineer, Health Intelligence Hybrid - Helsinki, Uusimaa Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work - both in and out of the office. Oura's engineering organization consists of talented developers distributed across the EU and US. For day-to-day feature work, our engineers are organized into smaller cross-functional teams. Our teams have a great deal of autonomy and are responsible for the design, development and architecture of their features. Teams take full ownership of their code and handle everything from concepting, design and implementation to release, maintenance and bug fixes. About the role The Health Intelligence team is at the forefront of integrating modern AI and LLMs into the Oura experience, transforming how members interact with and learn from their data. We are building the next generation of AI-powered health guidance at Oura, blending traditional ML with modern LLMs, reasoning systems, and robust evaluation - not as “chatbots with vibes,” but as rigorously evaluated

Business Intelligence Manager, WHS Data Bellevue, Washington, USA At Amazon, the Leadership Principle “Strive to be Earth's Best Employer” challenges us to create “a safer, more productive, higher performing, more diverse, and more just work environment,” and reinforces that nothing is more important than the safety and well-being of our teams. At Workplace Health and Safety (WHS) we strive to do just this. We work tirelessly to ensure we have the appropriate strategy, technology, and attitude to be successful. We also understand that people are at the center of safety and look to invest in talent that shares in our passion for making our employees and partners lives better. The WHS Data team is hiring a Business Intelligence Manager (BIM). The Data team spans the Business Intelligence (BI) and Data Engineering (DE) functional areas, and is responsible for providing all reporting solutions required by the WHS organizations to drive workplace safety, environmental programs, and regulatory compliance worldwide. This business intelligence manager role will manage the WHS Business Unit (BU) BI team to build scalable reporting and analytics solutions that enable better decision-making across the organization. This role will own key business metrics, drive automation, and standardize reporting frameworks. This role regularly requires close engagement with senior leaders and principal PMs to generate insights and deep dives into core metrics that directly impact organizational strategic decisions and priorities. The role is required to develop project roadmap, own prioritization, and effectively communicate with customers and stakeholder groups including leadership. Key job responsibilities

Werkstudent:in (m/w/d) Hämatologie Neuss, North Rhine-Westphalia, Germany posted: Posted Today

Director - Backend Engineering - AI Infra Bengaluru Job Description: Director of Backend Engineering (AI Infrastructure) Company Introduction We exist to wow our customers. We know we're doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds - a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Role Overview We are seeking a visionary Director of Backend Engineering to lead the teams responsible for the software "brain" that manages our global AI Physical Infrastructure. You will oversee the development of the SDN orchestrators, automated fleet management systems, and the high-performance storage backends that power our AI training and inference clusters. Your mission is to abstract the complexity of specialized hardware (NVIDIA/HPC) into a seamless, automated, and hyper-reliable cloud platform.

Lead Social Creative - HOKA 12 Locations posted: Posted 30+ Days Ago

HOKA Part-time Sales Associate / Conseiller.ère de vente temps partiel - Paris FR - Opéra Paris HOKA Concept Store posted: Posted 30+ Days Ago

Customer Support Engineer (Inference), India India About the Role As a Customer Support Engineer at a pioneering AI company, you'll be the first line of defense to support customers as they build out training, fine tuning, and inference solutions with Together AI. You'll dive deep into complex technical challenges, providing swift and effective solutions while serving as a product expert. As a part of the Customer Experience organization, you will collaborate closely with product and sales, driving continuous improvement of our offerings. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment. Responsibilities - Engage directly with customers to tackle and resolve complex technical challenges involving our cutting-edge GPU clusters and our inference and fine-tuning services; ensure swift and effective solutions every time. - Become a product expert in all of our Gen AI solutions, serving as the last line of technical defense before issues are escalated to Engineering and Product teams. - Collaborate seamlessly across Engineering, Research, and Product teams to address customer concerns; collaborate with senior leaders both internally and externally to ensure the highest levels of customer satisfaction. - Transform customer insights into action by identifying patterns in support cases and working with Engineering and Go-To-Market teams to drive Together's roadmap (e.g., future models to support) - Maintain detailed documentation of system configurations, procedures, troubleshooting guides, and FAQs to facilitate knowledge sharing with team and customers. - Be flexible in providing

Werkstudent (m/w/d) Patient Engagement DEU - Bavaria - Munich posted: Posted 30+ Days Ago

Customer Support Engineer (Inference) San Francisco, CA About the Role As a Customer Support Engineer at a pioneering AI company, you'll be the first line of defense to support customers as they build out training, fine tuning, and inference solutions with Together AI. You'll dive deep into complex technical challenges, providing swift and effective solutions while serving as a product expert. As a part of the Customer Experience organization, you will collaborate closely with product and sales, driving continuous improvement of our offerings. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment. Responsibilities - Engage directly with customers to tackle and resolve complex technical challenges involving our cutting-edge GPU clusters and our inference and fine-tuning services; ensure swift and effective solutions every time. - Become a product expert in all of our Gen AI solutions, serving as the last line of technical defense before issues are escalated to Engineering and Product teams. - Collaborate seamlessly across Engineering, Research, and Product teams to address customer concerns; collaborate with senior leaders both internally and externally to ensure the highest levels of customer satisfaction. - Transform customer insights into action by identifying patterns in support cases and working with Engineering and Go-To-Market teams to drive Together's roadmap (e.g., future models to support) - Maintain detailed documentation of system configurations, procedures, troubleshooting guides, and FAQs to facilitate knowledge sharing with team and customers. - Be flexible in

Manager, Business Intelligence, Support Products & Services Seattle, Washington, USA Amazon Advertising's Support Products & Services (SP&S) team is building the AI-powered future of advertiser support at massive scale. We're not just answering questions - our AI agents execute multi-step agentic workflows, automate the majority of common customer support use cases, and are featured prominently in the Amazon Advertising console, serving millions of advertisers worldwide. SP&S is seeking a highly experienced Business Intelligence Manager to lead the design, development, and scaling of advanced analytics, data infrastructure, and decision science capabilities across our large, complex business domain. This role defines the analytics vision, drives cross-organizational data strategy, and delivers scalable BI systems that power critical business decisions at SP&S. As our AI development accelerates, Business Intelligence is becoming core infrastructure - not a supporting function. We are shifting from bespoke, one-off data solutions to building reusable data pipelines, shared analytics capabilities, and measurement frameworks that power every agent team we spin up. We are looking for a BI Manager to lead and grow our BI and analytics team. You will be a player-coach: personally contributing hands-on to our most technically demanding data engineering work while providing the technical oversight, prioritization, and career development that enables our team to scale. You will lead a team of high-performing Business Intelligence Engineers, Data Engineers, Data Scientists and Business Analysts supporting a rapidly expanding AI product roadmap. You will own the full scope of our data needs: building and maintaining the pipelines that power our

Procesní inženýr/ka Opava, Czech Republic posted: Posted 30+ Days Ago

Systems Engineer Hong Kong, Shanghai, Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Designing, supporting, and operating HPC compute and storage infrastructure across on-premises and cloud environments - Maintaining and improving large-scale Linux systems spanning compute, storage,

Manager, Business Intelligence, FBA Analytics Bellevue, Washington, USA FBA Inventory Optimization Services (FIOS) is seeking a results-oriented Business Intelligence Manager to lead the development of AI-powered analytics infrastructure and GenAI-enabled data products across FBA's Growth Optimization portfolio. This role is central to FBA's generational transformation - pivoting from traditional reporting and reactive diagnostics to building intelligent, AI-native data systems that deliver predictive insights in minutes rather than days. As our AI development accelerates, Business Intelligence is becoming core infrastructure - not a supporting function. We are shifting from bespoke, one-off data solutions to building reusable data pipelines, shared analytics capabilities, and measurement frameworks that power every agent team we spin up. We are looking for a Manager, Business Intelligence Engineering to lead and grow our BI and analytics team supporting FBA's rapidly expanding AI product roadmap across Inventory Optimization Services - specifically Capacity Planning and Inventory Visibility domains. This is a high-impact, high-visibility player-coach role: you will personally contribute to our most technically demanding analytics engineering work while providing the technical oversight, prioritization, and career development that enables a team of high-performing BIEs and Business Analysts to scale. You will own the full scope of our data needs - building and maintaining the data models and pipelines that power our AI agents, creating the measurement frameworks that define how we track inventory lifecycle and business impact, and ensuring BAU reporting commitments are met without crowding out strategic infrastructure work. The ideal candidate is a technically exceptional BI leader who thinks

Werkstudent (m/w/d) HR, Project Coordination & Administrative Support Munich, Bavaria posted: Posted 30+ Days Ago

Senior Team Lead - AI Inference U.S. Remote We are seeking a Senior Team Lead to lead our AI Inference team. In this role, you will bridge the gap between complex research and production-grade engineering, while cultivating a high-performing team culture. You will lead and grow a squad of 3 developers, balancing hands-on technical contribution with strong people leadership - setting direction, unblocking your team, and driving execution on high-performance systems that optimize Large Language Model (LLM) serving. The ideal candidate combines deep technical expertise in inference and scale with the leadership maturity to mentor, motivate, and develop engineers in the evolving ecosyste m of serving frameworks like vLLM and LMCache. What You'll Work On - Lead & Own: Take end-to-end ownership of AMG's core inference infrastructure - from the NVMe Token Warehouse and GDS data paths to the vLLM/LMCache serving stack - driving technical decisions and delivery outcomes. - Technical Direction: Guide a team of engineers through design, implementation, and delivery of high-throughput, low-latency LLM inference systems, setting high standards for code quality, architecture, and reliability. - Build at Scale: Stay hands-on across the AMG stack (Python, C++, CUDA, vLLM, NIXL/Dynamo, Kubernetes), contributing directly to production systems while providing technical leadership to the team. - Solve Hard Problems: Tackle the real frontier challenges of inference engineering - disaggregated prefill/decode, persistent off-HBM KV caching, RDMA-based transport, and multi-tier GPU memory hierarchies - that define what's possible at scale. - Grow People & Teams: Mentor and coach engineers through regular 1:1s,